A multimodal dataset is presented, which has been collected for analyzing and measuring the quality of movement performed during sport activities. Martial arts (namely karate) are taken as test-beds for investigation. Karate encompasses predefined sequences of movements ('katas') that can be carried out with different qualities, e.g., by performers at different skill levels (highly vs. poorly skilled). The experimental setup and method are described. The dataset is composed of motion capture (MoCap) data, synchronized with video and audio recordings, of several participants with different levels of experience. The raw MoCap data are independent of any particular post-processing algorithm and can be used for other research purposes. In the second part of the paper, a set of measures is proposed to evaluate a kata performance. They are based on the geometrical and kinematic features, such as posture correctness and synchronization between limbs. and were chosen according to karate experts' opinion.

A multimodal dataset for the analysis of movement qualities in karate martial art / Kolykhalova, Ksenia; Camurri, Antonio; Volpe, Gualtiero; Sanguineti, Marcello; Puppo, Enrico; Niewiadomski, Radoslaw. - ELETTRONICO. - (2015), pp. 74-78. (Intervento presentato al convegno Intelligent Technologies for Interactive Entertainment (INTETAIN), 2015 7th International Conference on tenutosi a Torino, Italia nel 2015) [10.4108/icst.intetain.2015.260039].

A multimodal dataset for the analysis of movement qualities in karate martial art

NIEWIADOMSKI, RADOSLAW
2015-01-01

Abstract

A multimodal dataset is presented, which has been collected for analyzing and measuring the quality of movement performed during sport activities. Martial arts (namely karate) are taken as test-beds for investigation. Karate encompasses predefined sequences of movements ('katas') that can be carried out with different qualities, e.g., by performers at different skill levels (highly vs. poorly skilled). The experimental setup and method are described. The dataset is composed of motion capture (MoCap) data, synchronized with video and audio recordings, of several participants with different levels of experience. The raw MoCap data are independent of any particular post-processing algorithm and can be used for other research purposes. In the second part of the paper, a set of measures is proposed to evaluate a kata performance. They are based on the geometrical and kinematic features, such as posture correctness and synchronization between limbs. and were chosen according to karate experts' opinion.
2015
Intelligent Technologies for Interactive Entertainment (INTETAIN), 2015 7th International Conference on
Intetain
ICST
978-163190061-7
Kolykhalova, Ksenia; Camurri, Antonio; Volpe, Gualtiero; Sanguineti, Marcello; Puppo, Enrico; Niewiadomski, Radoslaw
A multimodal dataset for the analysis of movement qualities in karate martial art / Kolykhalova, Ksenia; Camurri, Antonio; Volpe, Gualtiero; Sanguineti, Marcello; Puppo, Enrico; Niewiadomski, Radoslaw. - ELETTRONICO. - (2015), pp. 74-78. (Intervento presentato al convegno Intelligent Technologies for Interactive Entertainment (INTETAIN), 2015 7th International Conference on tenutosi a Torino, Italia nel 2015) [10.4108/icst.intetain.2015.260039].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/280595
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